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Range Low Price High Price Comment
30 days 204.55€ 239.00€ Friday, 17th May 2024 SU.PA stock ended at 229.15€. This is 1.59% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.11% from a day low at 227.55€ to a day high of 232.35€.
90 days 199.18€ 239.00€
52 weeks 134.38€ 239.00€

Historical Schneider Electric S.E. prices

Date Open High Low Close Volume
Nov 16, 2023 165.28€ 165.90€ 164.06€ 164.06€ 881 081
Nov 15, 2023 164.50€ 165.80€ 164.16€ 164.46€ 904 109
Nov 14, 2023 161.34€ 164.42€ 160.30€ 163.98€ 1 035 261
Nov 13, 2023 160.82€ 162.08€ 159.84€ 160.74€ 780 185
Nov 10, 2023 161.68€ 162.52€ 159.60€ 160.80€ 1 166 384
Nov 09, 2023 158.44€ 163.66€ 157.80€ 163.36€ 1 782 431
Nov 08, 2023 148.72€ 152.32€ 147.66€ 150.90€ 656 060
Nov 07, 2023 148.42€ 150.38€ 147.04€ 149.42€ 606 605
Nov 06, 2023 151.34€ 151.80€ 149.04€ 149.24€ 595 508
Nov 03, 2023 149.68€ 151.84€ 149.16€ 150.70€ 756 741
Nov 02, 2023 147.08€ 151.50€ 146.74€ 149.48€ 1 024 667
Nov 01, 2023 145.14€ 146.30€ 144.00€ 145.22€ 738 334
Oct 31, 2023 142.74€ 145.76€ 142.40€ 144.98€ 1 108 049
Oct 30, 2023 144.54€ 144.66€ 142.44€ 142.84€ 673 717
Oct 27, 2023 141.16€ 143.96€ 139.44€ 143.06€ 1 099 928
Oct 26, 2023 135.02€ 140.46€ 134.38€ 140.02€ 1 118 195
Oct 25, 2023 139.20€ 140.02€ 137.34€ 139.98€ 961 041
Oct 24, 2023 141.80€ 141.80€ 137.72€ 139.42€ 1 125 582
Oct 23, 2023 141.34€ 142.04€ 140.14€ 141.92€ 698 476
Oct 20, 2023 143.96€ 144.00€ 141.14€ 141.44€ 1 266 851
Oct 19, 2023 145.80€ 146.94€ 145.06€ 145.74€ 812 380
Oct 18, 2023 150.60€ 150.74€ 145.58€ 147.10€ 1 065 570
Oct 17, 2023 151.50€ 152.52€ 150.36€ 151.90€ 476 075
Oct 16, 2023 153.68€ 153.78€ 151.10€ 152.16€ 587 682
Oct 13, 2023 156.24€ 156.56€ 152.88€ 153.12€ 720 949

FAQ

What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.

Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.

How can I use SU.PA stock historical prices to predict future price movements?
Trend Analysis: Examine the SU.PA stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.

What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.

This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.

A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.

Why do the SU.PA stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.

How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.
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About Schneider Electric S.E.

Schneider Electric S.E. provides energy and automation digital solutions worldwide. It operates through two segments, Energy Management and Industrial Automation. The company offers busway and cable support products, circuit breakers and switches, contactors and protection relays, electrical protection and control products, energy management software solutions, transfer switches, surge protection and power conditioning products, power monitoring ... SU.PA Profile

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